Joint Estimation of Age and Expression by Combining Scattering and Convolutional Networks

Huei-Fang Yang, Bo-Yao Lin, Kuang-Yu Chang, Chu-Song Chen

Abstract: This article tackles the problem of joint estimation of human age and facial expression. This is an important yet challenging problem because expressions can alter face appearances in a similar manner to human aging. Different from previous approaches that deal with the two tasks independently, our approach trains a convolutional neural network (CNN) model that unifies ordinal regression and multi-class classification in a single framework. We demonstrate experimentally that our method performs more favorably against state-of-the-art approaches.